fixed typos

Author: giorgiop

examples/antirectifier.py

@@ -66,7 +66,7 @@ def get_output(self, train):
 nb_classes = 10
 nb_epoch = 40
 
-# the data, shuffled and split between tran and test sets
+# the data, shuffled and split between train and test sets
 (X_train, y_train), (X_test, y_test) = mnist.load_data()
 
 X_train = X_train.reshape(60000, 784)

examples/mnist_cnn.py

@@ -29,7 +29,7 @@
 # convolution kernel size
 nb_conv = 3
 
-# the data, shuffled and split between tran and test sets
+# the data, shuffled and split between train and test sets
 (X_train, y_train), (X_test, y_test) = mnist.load_data()
 
 X_train = X_train.reshape(X_train.shape[0], 1, img_rows, img_cols)

examples/mnist_mlp.py

@@ -20,7 +20,7 @@
 nb_classes = 10
 nb_epoch = 20
 
-# the data, shuffled and split between tran and test sets
+# the data, shuffled and split between train and test sets
 (X_train, y_train), (X_test, y_test) = mnist.load_data()
 
 X_train = X_train.reshape(60000, 784)

examples/mnist_siamese_graph.py

@@ -77,7 +77,7 @@ def compute_accuracy(predictions, labels):
     return labels[predictions.ravel() < 0.5].mean()
 
 
-# the data, shuffled and split between tran and test sets
+# the data, shuffled and split between train and test sets
 (X_train, y_train), (X_test, y_test) = mnist.load_data()
 X_train = X_train.reshape(60000, 784)
 X_test = X_test.reshape(10000, 784)